Re: st: how to create average income of same cohorts?

Thank you Austin,
I did not manage to try with your solution of the problem yet.
However, you are perfectly right. Scott's solution does not work when
age is repeated, which is the case of my 'true' panel data, and I
guess, might be the usual case.
Thanks again to everybody for their useful help!
Cheers,
Mirko
On 5/16/07, Austin Nichols <austinnichols@gmail.com> wrote:

Mirko--
Bill Gould and Scott Merryman already made good suggestions (though I
think Scott's code does not work when age is repeated within
region/educ cells, e.g. after an -expand- command on the toy data, and
could tax system memory if age varies widely across cells and there is
a lot of data).
When I read the question, I thought age might not be measured as an
integer, i.e. as floor(elapsed_age), but as a float or double, as I
suspect it usually should be (though common practice dictates
integers), which led me my thinking in another direction, shown below.
This solution is pretty fast and adaptable to a number of related
problems, I suspect, but limited to problems where the "cohort" fuzzy
match variable (age, here) has values that fit in a local (though this
limit could be sidestepped in various ways). No doubt there is an
even better solution using Mata.
clear
input id region educ age income
1 2 1 25 5
1 2 1 26 5
2 2 1 29 8
2 2 1 30 8
3 2 1 32 11
3 2 1 33 11
4 1 1 40 5
4 1 1 41 5
5 1 2 37 8
5 1 2 38 8
6 1 2 42 9
6 1 2 43 9
end
g double yref=.
cap prog drop mbyage
program mbyage, byable(recall)
syntax [varlist] [if] [in]
marksample touse
qui levelsof age if `touse', loc(a)
foreach y of local a {
su `varlist' if `touse' & age>=`y'-5 & age<=`y'+5, meanonly
qui replace yref=r(mean) if `touse' & age==`y'
}
end
bys reg educ: mbyage inc
sort id age
li, noo sepby(id)
On 5/15/07, Scott Merryman <smerryman@kc.rr.com> wrote:
> An alternative:
> egen group = group(region educ)
> tsset group age
> tsfill, full
> tssmooth ma ref= income, w(5 1 5)
> keep if id !=.
>
> > -----Original Message-----
> > From: Mirko
> > William,
> > thanks a lot for all the work you have done on this.
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